Kirti Aggarwal

Data Analyst @Orange Business Services | Infosys Pragati Cohort Trainee | McKinsey Forward Learner | SIH 2024 Finalist | Former Content Head @NSS MAIT | Java | SQL | Python | PowerBI | Automation | ETL | Machine Learning

Greater Delhi Area

About

Hi, I’m Kirti Aggarwal, a B.Tech student specializing in Information Technology! I have a solid foundation in programming and data analytics, alongside skills in design and Photoshop. My passion lies in emerging tech like generative AI, data science, and machine learning. I’m an avid explorer, constantly seeking to learn and stay ahead of the curve. I believe in the power of collaboration and would love to connect with fellow tech enthusiasts. Let’s share insights, explore trends, and innovate together! Thanks for stopping by my profile! Here’s to new connections and shared passions! 🚀

Experience

  • Data Analyst at Orange Business
    Jan 2026 - Present · 7 mos

    Working on large-scale, high-volume datasets performing data cleaning, transformation, and exploratory data analysis (EDA) to derive actionable insights. Utilizing Python (Pandas, NumPy) and SQL for data manipulation, querying, and analysis. Designed and implemented ETL pipelines to streamline data ingestion and processing. Optimizing repetitive tasks using Python scripting. Built interactive dashboards in Power BI leveraging DAX, data modeling, and visualization for end-to-end reporting.

  • Head of Content and Graphics at National Service Scheme, MAIT
    Feb 2024 - Apr 2025 · 1 yr 3 mos

    Serving as the Head of Content and Graphics at NSS, I lead the creative direction, crafting compelling content and visually engaging designs, which help in driving impactful initiatives, enhancing student involvement, and promoting the social causes. Being at this Position of Responsibility, I grew engagement by 100% through data-driven campaigns and created 50+ graphics/videos.

  • Data Analytics Trainee at Student Ambassador Program with IBM SkillsBuild
    Dec 2024 - Jan 2025 · 2 mos

    Analyzed large datasets (10,000+ records) using Python, SQL, and Pandas, improving data processing efficiency by 30% and reducing cleaning time by 40%. Designed and evaluated machine learning models for multiple disease diagnoses, achieving 85–90% predictive accuracy and reducing false negatives by 25% for critical conditions.

  • Smart India Hackathon (SIH) 2024 Finalist at Smart India Hackathon
    Sep 2024 - Dec 2024 · 4 mos

    Selected among the top 50 teams nationwide (top 3 in problem statement), advancing to semi-finals with Power Shakti. Revamped electricity demand forecasting system (Python, TensorFlow) for Delhi's grid, reducing power wastage by 70% across 50+ substations.

  • Myntra HackerRamp Hackathon 2024 Runner-Up at Myntra
    Jun 2024 - Aug 2024 · 3 mos

    Top 1% selection (1,000/30,000) nationwide; advanced to prototyping round with gamified engagement solution. Designed UI-driven fashion challenges (quizzes/polls/leaderboards), boosting user engagement by 35% in simulations.